Automated Machine Learning

Now you can put the intelligence of sophisticated machine learning models into your customer journeys. And automate marketing decisions based on your business goals, your customer data and your key predictors.

Featured Capabilities.

Smart marketers know that their insights and decisions are only as good as the models on which they’re built. That’s why Redpoint Automated Machine Learning (AML) helps your team analyze, build, use, and optimize models based on your business goals.

AML unites marketers, data scientists and engineers to render advanced modeling an easy, smooth process. Working with your data and your orchestration engine, AML makes real time and batch decisions to advance a broad range of business goals, including churn prediction, offer optimization, intent understanding, and more.

With rgOne®, marketers can use data drawn from customer interactions, transactions and behaviors — or any source — and make it easily available to train your AML models. With nearly any degree of customer detail.

AML provides a complete framework for defining models aligned with business goals, and for automatically training with historical customer data.

Models are easily published and made available immediately (in Redpoint® or other applications), and can be live-tested, -updated and -optimized.

One, integrated operational framework powers all tracking, updating, deploying, and running a full fleet of machine learning models.

AML training is driven by evolutionary algorithms that zero in on the best model for the chosen outcome, across a wide range of possible setups.

AML Web Services provide a simple RESTful interface with automatic scaling to manage optimal performance.

Control all the data needed for model building, allowing users to upload new datasets and to search, inspect and select data for use in the modeling process.

AML delivers the spectrum and caliber of ML algorithms and automated training to build models specific to your business cases, customers and interactions.